Motor bearing fault diagnosis based on industrial internet of things and transfer learning
IntroductionMotor bearing faults seriously affect industrial safety and efficiency. Traditional diagnosis methods often lack adaptability across conditions and rely heavily on labeled data. This study proposes a fault diagnosis model integrating the Industrial Internet of Things (IIoT) and transfer...
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2025-08-01
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| coleção: | Frontiers in Mechanical Engineering |
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| Acesso em linha: | https://www.frontiersin.org/articles/10.3389/fmech.2025.1647310/full |
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